Dataset to reproduce firgures for the paper "A unifying method to study Respiratory Sinus Arrhythmia dynamics implemented in a new toolbox"

Dataset provided to reproduce figures <br> for the paper "A unifying method to study Respiratory Sinus Arrhythmia dynamics implemented in a new toolbox" Jupyter notebooks are available here:<br> https://github.com/samuelgarcia/physio_benchmark Human dataset<br> ============= Context: A research aimed to decipher the impact of respiration on brain oscillations Data collection methods: ECG and Respiration of 15 healthy adults subjects <br> (age : 30.9 +/- 9.5 yo).All participants gave informed consent to take part to the study, and all experiments<br> were approved by the national french committee (CPP number 4090). They were sitting quietly and instructed just<br> to relax. Recording lasted 5 minutes. Respiration signal was recorded from a nasal sensor<br> (Sensortechnics GmbH, Puchheim , Germany) at a sampling rate of 1000 Hz, amplified by actiCHamp<br> Plus amplifier (Brain Products GmbH, Gilching, Germany). ECG signal was recorded from 3 skin electrodes<br> (right forearm, left forearm, left iliac region), at a sampling rate of 1000 Hz (same amplifier). Structure of files: tabular separated values text files.<br> The first columns correspond to the ECG signal, the second is the respiratorysignal.<br> The sampling rate is 1000Hz Data manipulations: The original dataset has longer durationand and contain channels (EEG).<br> This sub-dataset was extracted from the original using the neo python package from the VHDR brain product format.<br> Signal tarces haven't been preprocessed they correspond to the "raw" signal. <br> Data confidentiality and permissions: Experiments were approved by the national french committee (CPP number 4090) <br> Animal dataset<br> ============== Context: The dataset was recorded to validate the device telemetric jacket from Etisense. Data collection methods: ECG and Respiration of 1 adult rat were recorded. Recording lasted 30 seconds during<br> freely behaving. Respiration signal and ECG were recorded from a thoraco-abdominal telemetric<br> jacket at which it was habituated before. Recorded were done at a sampling rate of 500 Hz, amplified by<br> Etisense acquisition unit (Etisense, MedTech company, Lyon, France). Structure of files: tabular separated values text files.<br> The first columns correspond to the ECG signal, the second is the respirator signal.<br> The sampling rate is 500Hz <br> Data manipulations:<br> The dataset was extracted from the original HDF5 structure.<br> The ECG signal correcpond to the "raw" traces from the HDF5 files.<br> The respiratory signal was originaly sample at 200Hz on the device and resample with linear interpolation<br> to 500Hz to be easy aligned with the ECG signal. Data confidentiality and permissions: Experiments were carried according to the ethical guidelines of the<br> European Communities Council Directive of 24 November 1986 (86/609/EEC), as well as the approval 16979 of the<br> Lyon 1 University CEEA-55 ethical committee and of the Ministry of Higher Education, Research and Innovation.<br>